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首页> 外文期刊>Journal of near infrared spectroscopy >Near infrared spectroscopy calibrations for quantifying the animal species in processed animal proteins
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Near infrared spectroscopy calibrations for quantifying the animal species in processed animal proteins

机译:近红外光谱校准用于量化加工动物蛋白中的动物种类

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Near infrared (NIR) calibrations were developed for the instantaneous and simultaneous prediction of the animal species composition of processed animals proteins (PAPs). A total of 359 PAPs samples were used to built calibration and validation sets. Different derivatives and scatter correction pre-treatments were tested. Modified partial least squares regressions were developed for the prediction of the percentage of poultry by-products meal, pork meal, cattle meal, ruminant meal and non-ruminant meal in a mixture. All the equations presented R{sup}2 and ratio performance deviation [RPD] values around 0.9 and 3, respectively. In the external validation procedure, the results obtained correspond well with the calibration statistics. This study shows the potential of NIR technology to quantify the animal species in PAPs and it clearly demonstrates the importance of the size and structure of the calibration set in the robustness of the equations.
机译:开发了近红外(NIR)校准,用于瞬时和同时预测加工动物蛋白(PAP)的动物种类组成。总共359个PAP样品用于建立校准和验证集。测试了不同的导数和散射校正预处理。开发了修正的偏最小二乘回归,以预测混合物中的禽肉副产品粉,猪肉粉,牛粉,反刍动物粉和非反刍动物粉的百分比。所有方程均表示R {sup} 2和比率性能偏差[RPD]值分别约为0.9和3。在外部验证程序中,获得的结果与校准统计数据非常吻合。这项研究显示了近红外技术在PAP中定量动物种类的潜力,并且清楚地证明了校准集的大小和结构在方程鲁棒性中的重要性。

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